Long-form 23 items
Thu, 24 Sept 2026
Long-form 05:25 ET
Alpha Exchange — Amanda Lynam: GS credit on AI capex financing
GS Chief Credit Strategist: hyperscaler IG $250bn/'26→$400bn/'27; $6tn capex '26–'30; hyperscalers 40% of AI issuance; little crowding-out; IG absorb.
asr Alpha Exchange · Goldman Sachs · Meta · Bloomberg
Long-form 05:20 ET
SemiAnalysis — ClusterMAX 3.0: Nebius platinum, rankings, financing
Ep.033: 77 providers ranked; Nebius joins CoreWeave platinum; Google gold; Azure/AWS down; GPU-hour backwardation; NVDA backstop ~$588bn→$2tn; SLAs.
asr SemiAnalysis Weekly · Nebius · CoreWeave · Oracle
Wed, 23 Sept 2026
Long-form 05:15 ET
Latent Space — Diogo Almeida / Jev: System One for prod, not God
InstructGPT coauthor: frontier chat/RLHF APIs wrong for software; Jev as code-consumed System One; >1T tokens/day machine traffic; dark data + agents.
asr Latent Space · TypeSafe · Jev · OpenAI
Tue, 22 Sept 2026
Long-form 05:40 ET
ILTB — Gabe Stengel / Rogo: investing superintelligence, harness, last mile
Rogo CEO: o1 Pro→Opus 4.5 unlocked junior-analyst work; next 2–5y is firm reinvention; harness/compliance/last-mile beat raw models for buy-side.
asr Invest Like the Best · Rogo · Jane Street · Goldman Sachs
Long-form 05:30 ET
All-In — Naveen Rao: AI energy wall, 4D computing, 1000x efficiency bet
Unconventional AI CEO: Google-scale token energy already ~12GW; ~50% of token cost is power; aims 1000x efficiency in ~3.5y via dynamical chips.
asr All-In Summit · Unconventional AI · Nervana · Intel
Mon, 21 Sept 2026
Long-form 05:30 ET
Excess Returns — Jason Hsu: China AI gap, capex arms race, S&P seven
Rayliant CIO: China models on-par/open-source; energy grid edge; hardware rents until overcapacity; Mag7 CapEx arms race; S&P is one-tree, not diversifier.
asr Excess Returns · Rayliant Global Advisors · Research Affiliates · DeepSeek
Long-form 05:25 ET
Odds on Open — Lihong Wang: ex-IMC semis quant, AI stack portfolio
Ex-IMC semis options MM on flow/V, NVDA–AMD relative vol, DeepSeek corr blowups; 50-name AI stack book at ~2×; models-beat-S&P claim needs harness.
asr Odds on Open · IMC · NVIDIA · AMD
Sun, 20 Sept 2026
Long-form 05:20 ET
MiB — Glen Kacher: AI boom is catch-up, not overbuild
Light Street CIO on AI5 semis concentration, NVDA ~85% share, demand ahead of supply, 10–20y stack cycle, agents→~5× tokens; DC politics as education risk.
asr Masters in Business · Light Street Capital · NVIDIA · AMD
Sat, 19 Sept 2026
Long-form 05:20 ET
a16z — Ali Ghodsi: enterprise stall is context, not IQ
Databricks CEO on pacing PR vs cyber risk, four-test RSI bar, ontology/Genie as the adoption bind, Uni Gateway cost control + GLM shift.
asr The a16z Show · Databricks · OpenAI · Hugging Face
Long-form 05:20 ET
No Priors — Ermon/Inception: diffusion wins inference parallelism
Stefano Ermon on Mercury ≈ Haiku/Flash/mini speed tier, ~10× decode vs AR at GPT-2 scale, OpenCall leaving Cerebras for NVDA GPUs, 20–30% latency wedge.
asr No Priors · Inception · Mercury · OpenAI
Fri, 18 Sept 2026
Long-form 05:20 ET
Dwarkesh — Noam Brown: agent swarms, RSI speedup, alignment bind
OpenAI's Noam Brown on 10k-agent Navier-Stokes solve (130B tokens/88h), Ultra Mode multi-agent, Codex $7–8k/day internal, RSI ≠ 100x overnight.
transcript Dwarkesh Podcast · OpenAI · Hugging Face · Astra
Thu, 17 Sept 2026
Long-form 05:20 ET
Latent Space — AIUC: trust/liability as the agent adoption bind
Rune Kvist (ex-Anthropic) on $40M Series A: AIUC-1 quarterly agent standard, Lloyd's-backed policies, Waymo/Air Canada liability — eval+insurance stack.
transcript Latent Space · AIUC · Anthropic · Cursor
Long-form 05:15 ET
All-In — Gerstner: no AI bubble; semis = ~70% of Nasdaq return
Altimeter's Brad Gerstner on All-In: earnings-driven tape, offtake must fund Mag5 capex, Dylan 43GW too hot (~25GW), lab RR as takeoff switch. [asr]
asr All-In Podcast · NVIDIA · Anthropic · OpenAI
Wed, 16 Sept 2026
Long-form 05:20 ET
SemiAnalysis Ep.031 — pacing may eat more compute, not less
Emergency ep on Amodei pacing: OpenAI CoT monitoring ~20% of rollup compute; safety spend likely raises, not cuts, infra demand; HF as shot across bow. [asr]
asr SemiAnalysis Weekly · Anthropic · OpenAI · Hugging Face
Long-form 05:15 ET
All-In — Satya: pace with common sense; MSFT builds, leases, rents
Nadella on All-In: broad diffusion over mystical slowdown; ~30m enterprise Copilot users of ~250–300m TAM; kit ~60% of cost; Quincy DC ~400–500 MW. [asr]
asr All-In Podcast · Microsoft · OpenAI · Anthropic
Tue, 15 Sept 2026
Long-form 07:30 ET
Elon Musk & Gwynne Shotwell — AI Peer Review, Starship, Terafab, SpaceX/Tesla Merger (All-In)
SpaceX President Gwynne Shotwell says SpaceX is as much an AI business as a space business by revenue, with compute rental 'a heck of a business' and Starlink at ~1.5–2% penetration; Elon Musk joins from Memphis to push cross-lab model peer review, handicap Starship ship-catch at ~50–60%, frame Terafab as build-or-fail-to-scale, and non-deny a Tesla–SpaceX combination.
asr All-In Podcast · SpaceX · Tesla · xAI
Long-form 07:30 ET
All-In — Jensen: doomer math fails; open models carry apps
Huang on All-In: extinction %s unscientific; ~$400bn AI VC ~80% open-model; NVIDIA goes "as deep as needed." Trump brands DC opposition a hoax. [asr]
asr All-In Podcast · NVIDIA · Anthropic · OpenAI
Mon, 14 Sept 2026
Long-form 20:50 ET
Jensen Huang — Nvidia's Future, Physical AI, Rise of the Agent, Inference Explosion (All-In)
NVIDIA CEO Jensen Huang tells the All-In hosts that agentic workloads drove a ~10,000x compute step in two years, that a higher-capex Vera Rubin factory can still deliver the lowest token cost via ~10x throughput, and that Physical AI is already a near-$10bn NVIDIA line while open-weight agents redefine the desktop OS — with China licenses restarting and consensus growth paths rejected as undersized.
asr All-In Podcast · NVIDIA · Groq · Anthropic
Long-form 20:30 ET
Gavin Baker — Why AI Demand Is Outrunning Compute Supply (a16z Show)
Atreides CIO Gavin Baker tells David George that AI fundamentals accelerated through July–August while related equities drew down; argues sub-one-year compute paybacks and thin heavy-user penetration make undersupply through 2028 the base case, with NVIDIA’s financeable stack and hybrid open-source routers as the durable structure.
asr The a16z Show · NVIDIA · OpenAI · Anthropic
Long-form 17:29 ET
TBPN: The AI Slowdown Debate
Metadata-only: TBPN's Sep 14 episode (full + Diet cut) titled The AI Slowdown Debate, with guests including Nico Wittenborn, Scott Keogh, Mitchell Green, David Rosenthal, Ben Gilbert, and Faraj Aalaei.
metadata-only TBPN
Long-form 13:00 ET
SemiAnalysis Weekly: why 4-Hi HBM may win on inference economics
Metadata-only capture of SemiAnalysis Weekly Ep. 030: Myron Xie and Jordan Nanos on Rubin Ultra shipping 192GB HBM versus a 1TB preview, supply-driven decontenting, and why less memory per chip can still be the right call.
metadata-only SemiAnalysis Weekly · NVIDIA · SemiAnalysis
Long-form 12:06 ET
Eisman Playbook: Big Short partners on rates, AI, gold
Metadata-only: Steve Eisman with Vincent Daniel and Porter Collins on bonds, Treasury buybacks, OpenAI risk, gold, shorting mechanics, and two live short ideas.
metadata-only The Real Eisman Playbook · OpenAI
Long-form 12:04 ET
Latent Space: Richard Socher on recursive self-improvement
Metadata-only: Latent Space interviews Richard Socher (Recursive / You.com) on recursive self-improvement as the next major AI step; show notes flag AI×finance conference promo.
metadata-only Latent Space · You.com · Recursive
Long-form · Thu, 17 Sept 2026 · 05:15 ET

All-In — Gerstner: no AI bubble; semis = ~70% of Nasdaq return

Altimeter's Brad Gerstner on All-In: earnings-driven tape, offtake must fund Mag5 capex, Dylan 43GW too hot (~25GW), lab RR as takeoff switch. [asr]

asr Brad Gerstner NVIDIAAnthropicOpenAIMicrosoftGoogleAmazonDellSemiAnalysisAltimeterSpaceXSnowflakeUber Source ↗
Venue: All-In PodcastHost: Chamath Palihapitiya, Jason Calacanis, David Sacks, David FriedbergDuration: 18mPublished: Wed, 16 Sept 2026 · 23:04 ET

Opening

No classic multiple bubble — the AI trade is earnings- and offtake-constrained, with semis already ~70% of Nasdaq's return and lab monthly revenue as the takeoff switch. Brad Gerstner (Altimeter) delivers an ~18m All-In Summit speed-round market/tech check after Trump Accounts / CAC-scan openers. Ground covered: YTD scoreboard vs gold/BTC; Mag7/SOX multiples vs 2000; hyperscaler capex ≈ semi FCF; Anthropic revenue "fuse"; offtake path to fund Mag5 build; Dylan Patel 43 GW vs Gerstner's ~25 GW; regulation / nuclear precedent; rates as gravity. Fidelity is asr — proper nouns and lab revenue run-rates marked. Watch

Key takes

Gerstner frames 2026 as an earnings-driven expansion with multiple contraction, not a 2000-style bubble. Markets up ~15% YTD and ~39% since Jan of prior year despite tariffs/geopolitics/AI-regulation worry; gold flat, Bitcoin ~−10%; NVDA revenue, hyperscaler capex, and OpenAI/Anthropic valuations each ~2×; SpaceX ~2.5×. Nasdaq/S&P/SOX/NVDA all "well below" average multiples; Mag7 roughly in-line; consumer discretionary, software, and financials "barely moved." [book]

Semiconductors are ~70% of the Nasdaq's return — concentration as both feature and risk. "Makers of the tokens" capture the money; buyers ride along because infrastructure is tight. Dell cited as public company with VC-like returns (~5× / ~9× in ~18 months). Chart claim: hyperscaler capex is almost dollar-for-dollar free cash flow to the semiconductor infrastructure complex. [book]

The load-bearing offtake question: who pays the rent on Mag5 build? Gerstner revisits his Oct prior-year Sam Altman question ($1T capex commit vs ~$13bn GAAP revenue) — then points to Anthropic's Dec→Feb→Mar monthly revenue step-up as the "exclamation point" that lit the April/May rip, with June/July consolidation after ARR revised (~65 vs street ~75) plus open-source catch-up worry. Collective top-lab run-rate framed ~$100bn (asr — names Anthropic, OpenAI, and "SpaceX"; treat third name as uncertain); needs ~+$80bn to ~$180bn by year-end to "keep the AI trade intact." Mag5 builds to rent; offtake must climb ~200 → 450 → 800/1,000bn or the capex path does not clear. [book]

Supply: SemiAnalysis 43 GW next year is too aggressive — Gerstner's hunch ~25 GW, half to Anthropic + OpenAI. This year ~19 GW added with ~7 to the two leading labs; Dylan Patel forecast +43 GW / ~14 to leaders next year — equal to cumulative US compute today (<~40 GW). Permitting, local opposition, interconnection, labor, sold-out power equipment bind. Revenue math: Anthropic reportedly doing ~$100–110bn this year on ~1.5 GW; +4–5 GW "certainly enough" for another ~$100bn — so GW miss ≠ automatic revenue miss for next year. By 2028, >half of US compute controlled by two labs (citing Sacks). [book]

TAM / tokens / margin expansion are the bull stack; regulation, power, and rates are the three risks. Knowledge-work TAM only needs 4% ($1.2T) to pay for capex; ~47 quadrillion tokens; Codex users ~40× in eight months; median enterprise AI spend ~17× in 18 months. Nasdaq 2015–25 EPS ~10% (~6% rev + ~38 bps margin/year) — can AI lift margin expansion toward ~100 bps (Uber/Snowflake "grow without headcount" anecdotes). Risks: (1) activist-driven over-regulation (nuclear: ~67 fission reactors shut — "unilateral disarmament" vs China); (2) atoms/energy hard; (3) rate hikes / higher DC hurdle rates; 10y toward ~5.5% as equity gravity. [book]

Portfolio stance for 2026: "medium," mentally flexible — lab monthly revenues are the single most important datapoint. 2023–25 only required being long the AI supercycle; 2026 is "facts and circumstances," already priced, "don't YOLO." If lab monthly revenues print closer to ~$8bn than ~$4bn and oil/rates cooperate → add chips; else reserve right to go smaller. Anthropic IPO halt/postponement on regulation is named as a major downside path he does not base-case. [book]

Key math

Nasdaq ~+15% YTD; ~+39% since Jan prior year; earnings ~+26%; multiples down (asr) — earnings tape, not multiple bubble. [book]

NVDA ~14× next-year fully taxed GAAP EPS; semis ~70% of Nasdaq return (asr) — concentration + valuation discipline claim. [book]

Hyperscaler capex ≈ dollar-for-dollar semi-infra FCF; Dell ~5× / ~9× in ~18 months (asr) — who harvests the build. [book]

Anthropic monthly path Dec ~$2bn → Feb ~$4bn → Mar ~$11bn; ARR revised ~$65bn vs ~$75bn expected (asr — Gerstner/rumor framing) — offtake "fuse" narrative. [book]

Top-lab collective RR ~$100bn → need $180bn by YE (+$80bn); offtake path ~$200bn → $450bn → $800bn/$1T (asr) — rent math for Mag5 capex. [book]

Compute: ~19 GW added 2026 (~7 to two labs); Dylan +43 GW next (~14 to labs); Gerstner ~25 GW (half to Anthropic+OpenAI); US cumulative compute <~40 GW (asr) — power/stand-up bind. [book]

Anthropic ~$100–110bn RR this year on ~1.5 GW; +4–5 GW → another ~$100bn revenue capacity (asr) — GW shortfall ≠ revenue shortfall next year. [book]

~4% of knowledge-work TAM ≈ $1.2T pays for capex; ~47 quadrillion tokens; Codex users ~40× / 8mo; enterprise median spend ~17× / 18mo; margin expansion ~38 bps → ?100 bps (asr) — demand / productivity stack. [book]

Quotes

"This is no bubble like it was in 2000." — Brad Gerstner [asr] [book]

"Semiconductors are 70% of the Nasdaq's… return." — Brad Gerstner [asr] [book]

"Microsoft's not paying for it. They're building it to rent it." — Brad Gerstner [asr] [book]

"I would suggest Dylan's forecast to 43 gigawatt next year is too aggressive… closer to 25 gigawatt." — Brad Gerstner [asr] [book]

"The single most important data point in the market today… is Anthropic's monthly revenue [and] OpenAI's monthly revenue going to be 4 billion or 8 billion?" — Brad Gerstner [asr] [book]

"That is not where we are in 2026. Everybody knows about AI. It's all priced now. It's about facts and circumstances… Don't YOLO." — Brad Gerstner [asr] [book]

Variant perception

Priced in — AI as the supercycle; Mag7/hyperscaler capex durability; NVDA as core expression; "is it a bubble" as the standing debate. Post-Fed week already trading concentration and rates.

What's new — explicit offtake-vs-rent grammar plus a falsifiable GW haircut (43→~25) that still clears next-year lab revenue if Anthropic/OpenAI get ~half. Monthly lab RR as the takeoff/abort switch, and semis-as-70%-of-Nasdaq-return as a concentration risk statement from a known AI bull, are the desk-usable bits. Nuclear-regulation analogy is the political-risk framing.

Bear case — if monthly lab RR stalls near ~$4bn, open-source compresses pricing, or 10y pushes toward ~5.5%, his own fan chart goes lower even without a "bubble pop." 70% Nasdaq contribution from semis is fragile to any offtake miss. Third "lab" in the $100bn collective RR line is ASR-noisy. Summit charts are Altimeter marketing collateral.

Discount — Gerstner manages Altimeter and is a structural AI/semi bull talking his book on stage at All-In Summit. Partner reads (IREN, Keel, etc.) sit under the bumper. Treat Anthropic/OpenAI monthly and ARR figures as rumor-composite unless corroborated. "SpaceX" in the top-lab RR list may be ASR error.

Positioning

AI capex durability — STRENGTHENS (conditionally). Offtake must fund Mag5 rent, but Gerstner's path still assumes multi-hundred-billion lab RR and continued build; GW haircut is a stand-up constraint, not a demand cancel. Conditional on monthly lab revenues printing toward the ~$8bn takeoff case.

HBM supply binds — NEUTRAL. Episode is offtake/power/rates, not memory hierarchy — though token/GW math sits upstream of accelerator shipments.

Inference margin inversion — NEUTRAL / watched. Open-source catch-up named as a June/July consolidation factor; no lab gross-margin path across price cuts disclosed here.

The Open/Close  ·  Research commentary, not investment advice. Positions may be held in securities mentioned.